Abstract: Based on differential evolution algorithm, an impact factor optimizing differential evolution algorithm was proposed.Feasibility and effectiveness of the algorithm were verified through the simulation experiment of three groups of test function with different Pareto frontier, which provides a novel optimization method for multiobjective optimization problem. Applying this method in the engineering practice, particularly in the clamping mechanism in an injection molding machine, a mathematical model of multiobjective optimization with two objective functions of stroke ratio and force magnification was established, which realized the optimization of clamping mechanism and the comparison with ideal point method.It showed that the stroke ratio and force magnification after the optimization using our algorithm were increased by 10.73 % and 21.42 %, respectively, in comparison with that of 9.93 % and 20.91 % by ideal point method. It may be concluded that the impact factor optimizing differential evolution algorithm was superior to the ideal point method.

Key words: impact factor optimizing, differential evolution algorithm, clamping mechanism, multi-objective optimization, ideal point method